Search results for "Erosion prediction"

showing 5 items of 5 documents

Predicting plot soil loss by empirical and process-oriented approaches. A review

2018

Soil erosion directly affects the quality of the soil, its agricultural productivity and its biological diversity. Many mathematical models have been developed to estimate plot soil erosion at different temporal scales. At present, empirical soil loss equations and process-oriented models are considered as constituting a complementary suite of models to be chosen to meet the specific user need. In this paper, the Universal Soil Loss Equation and its revised versions are first reviewed. Selected methodologies developed to estimate the factors of the model with the aim to improve the soil loss estimate are described. Then the Water Erosion Prediction Project which represents a process-oriente…

010504 meteorology & atmospheric sciencesSoil erosion; Soil loss measurements; Universal soil loss equation; Water erosion prediction project; Bioengineering; Mechanical Engineering; Industrial and Manufacturing EngineeringBioengineeringSoil science01 natural sciencesIndustrial and Manufacturing EngineeringPlot (graphics)lcsh:Agriculturewater erosion prediction project.Soil loss measurementSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalilcsh:Agriculture (General)Temporal scalesReliability (statistics)0105 earth and related environmental sciencesgeographysoil loss measurementsgeography.geographical_feature_categoryPhysical modelMathematical modelMechanical EngineeringWater erosion prediction projectlcsh:S04 agricultural and veterinary sciencesUniversal Soil Loss Equationlcsh:S1-972RillUniversal Soil Loss EquationSoil erosion040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSpatial variability
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Predicting soil loss in central and south Italy with a single USLE-MM model

2018

Purpose: The USLE-MM estimates event normalized plot soil loss, Ae,N, by an erosivity term given by the runoff coefficient, QR, times the single-storm erosion index, EI30, raised to an exponent b1> 1. This modeling scheme is based on an expected power relationship, with an exponent greater than one, between event sediment concentration, Ce, and the EI30/Pe(Pe= rainfall depth) term. In this investigation, carried out at the three experimental sites of Bagnara, Masse, and Sparacia, in Italy; the soundness of the USLE-MM scheme was tested. Materials and methods: A total of 1192 (Ae,N, QREI30) data pairs were used to parameterize the model both locally and considering all sites simultaneously. …

Bare plotsSoil erosion predictionResponsible editor: Philip N. OwenEvent plot soil loStratigraphy0208 environmental biotechnologyBare plotSampling (statistics)SedimentSoil science02 engineering and technology020801 environmental engineeringTerm (time)Soil lossEarth-Surface ProcesseBare plots Event plot soil loss Soil erosion prediction USLE-MMExponentErosionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliUSLE-MMSurface runoffEvent plot soil lossEarth-Surface ProcessesMathematicsEvent (probability theory)
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Evaluating the effects of forest tree species on rill detachment capacity in a semi-arid environment

2021

Abstract The beneficial effects of plant roots in decreasing soil detachment in forest ecosystems exposed to rill erosion are well known. However, these effects vary largely between different plant species. There has been lots of research into the relationship between root-soil systems and rill erodibility with a particular focus on grass species. Conversely, fewer studies are available for tree species, especially in forests of semi-arid or arid environments. Greater knowledge is therefore needed to identify the most effective tree species against rill erosion in these ecosystems, where water availability is the limiting factor for vegetation growth and afforestation is often the only solu…

Erosion predictionCarpinus betulusHydrologygeographyEnvironmental Engineeringgeography.geographical_feature_categorybiologyWater flowParrotia04 agricultural and veterinary sciencesVegetation010501 environmental sciencesManagement Monitoring Policy and Lawbiology.organism_classification01 natural sciencesRillForest ecology040103 agronomy & agricultureErosion0401 agriculture forestry and fisheriesEnvironmental science0105 earth and related environmental sciencesNature and Landscape ConservationEcological Engineering
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Measuring Field Rill Erodibility by a Simplified Method

2015

Many process-oriented erosion prediction models reproduce rill erosion as affected by site-specific parameters, as for example, rill erodibility, and thus, their practical application requires the measurement of these parameters or their estimate. The aim of this paper was establishing a method for indirectly measuring field rill erodibility. A simple mathematical approach based on a known soil detachment equation and accounting for the rill erosion dynamic process is applied. Field measurements carried out for seven natural rainfall events occurring at the plots of the Sparacia experimental station, southern Italy, are used for indirectly measuring the rill erodibility of the investigated …

Erosion predictiongeographygeography.geographical_feature_categoryScale (ratio)Soil Science04 agricultural and veterinary sciencesInflowDevelopmentRill erosion010502 geochemistry & geophysics01 natural sciencesField (geography)RillSoil structure040103 agronomy & agricultureErosion0401 agriculture forestry and fisheriesEnvironmental ChemistryEnvironmental scienceGeotechnical engineering0105 earth and related environmental sciencesGeneral Environmental ScienceLand Degradation & Development
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WEPP calibration for improved predictions of interrill erosion in semi-arid to arid environments

2013

Abstract Modeling soil erosion contributes to the understanding of the erosion processes and needs to predict accurately the erosion rates under different environmental conditions. Few studies have investigated the WEPP's applicability for arid and semi-arid conditions that differ from those where the model was developed. This research was carried out to evaluate and improve the WEPP model for arid and semiarid regions for interrill erosion using a rainfall simulator at plot scale. The results showed that measured interrill erosion rates ranged from 9.3 × 10− 6 to 89.6 × 10− 6 kg m− 2 s− 1. In comparison, the WEPP-interrill erosion prediction values were on average 14.5 times lower than the…

HydrologyErosion predictionScale (ratio)ErosionCalibrationSoil ScienceEnvironmental scienceWEPPAridNash–Sutcliffe model efficiency coefficientStream powerGeoderma
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